Chenhong Zheng
Papers
1
Total Citations
2
H-Index
1
About
Chenhong Zheng is a researcher at the forefront of integrating intelligent automation into enterprise financial systems. Her work centers on the application of robotic process automation (RPA) and machine learning algorithms to streamline budget data acquisition and processing—a critical area for modern business efficiency. In her most cited paper, "Application of PRA and Machine Learning Algorithm in Budget Data Acquisition and Processing System" (2022), Zheng addresses the pressing challenge of automating comprehensive budget management. She demonstrates how combining RPA with machine learning can optimize data collection, reduce manual errors, and accelerate budget preparation, offering a scalable solution for enterprises navigating digital transformation. Though early in her citation impact, with 2 citations to date, her work signals a growing interest in practical, algorithm-driven approaches to financial automation. Zheng’s contributions are particularly notable for bridging the gap between theoretical machine learning models and real-world corporate budgeting workflows, making her a promising voice in the fields of business process automation and applied data science. Her research provides a valuable roadmap for students and practitioners seeking to harness AI for operational efficiency.
Research Focus
Key Achievements
Top Papers
- 1